Modernizing and Building Data-Centric, AI-Ready Information Systems with Streaming Databases
- Date
- 2025-06-19
- Location
- 321founded - Corporate Startup Studio / Located in: Westfield Forum des Halles, Paris, Île-de-France, France
- Host
- Real Time Data + AI
About this event
AI systems are only as useful as the data infrastructure behind them. If your data is delayed, fragmented, or difficult to operationalize, every downstream product decision, model, and workflow pays the price. This event is for people who want to understand how streaming databases can help modernize information systems so they are more responsive, more reliable, and better prepared for AI-driven applications. In a moment when companies are trying to move from static reporting to real-time intelligence, the architecture choices you make matter. Expect a practical, grounded evening in Paris focused on what it takes to build data-centric systems that can support modern products, autonomous processes, and AI-ready operations. About the Event This in-person session brings together people working at the intersection of data, software, AI, and systems design to explore how streaming databases are changing the way information systems are built. Rather than treating data as something that only gets processed after the fact, streaming approaches make it possible to work with data continuously as it is created. The core theme is modernization: how organizations can evolve beyond brittle, batch-oriented architectures and toward systems that are better suited for low-latency decision-making, operational visibility, and intelligent automation. For teams building AI products or preparing their infrastructure for future AI use cases, this shift is increasingly strategic rather than optional. The format is designed to be both informative and conversational. You can expect a mix of focused content, practical discussion, and time to connect with others who are thinking seriously about real-time data, event-driven systems, and the technical foundations required for AI-ready organizations. Whether you are actively rebuilding systems today or trying to sharpen your understanding of where data infrastructure is heading, this event creates space to learn from the topic, ask better questions, and meet peers facing similar challenges. What to Expect The evening will center on the architectural and operational implications of streaming databases in modern information systems. Expect discussion around how streaming data changes application design, how it supports more responsive and autonomous workflows, and why this matters for AI initiatives that depend on timely, trustworthy, well-structured data. Likely areas of focus include: What streaming databases are and how they differ from traditional database and batch-processing patterns Modernizing legacy or static information systems to support real-time use cases Designing data-centric architectures where events, streams, and continuous updates become first-class building blocks Preparing systems for AI readiness, including data freshness, accessibility, and operational consistency Tradeoffs and implementation considerations teams should understand before adopting new infrastructure patterns You should also expect an in-person community dynamic rather than a purely one-way presentation. Events like this are especially valuable because the most useful insights often come from hearing how others frame the same problems: latency, complexity, integration, scale, governance, and the gap between promising AI ideas and production-ready systems. There will also be room for networking with people across data, engineering, product, startup, and innovation communities. If you like leaving an event with both conceptual clarity and a few new conversations to continue afterward, this format should suit you well. Why Attend If you are building or operating systems today, the phrase "AI-ready" can feel vague unless it is tied to concrete infrastructure decisions. This event makes that conversation more useful by grounding it in information systems design, data flow, and the role of streaming databases in making data more actionable in real time. You will come away with a clearer view of why traditional architectures can struggle to support modern AI and autonomy use cases, and what patterns are emerging in response. Even if you are not making immediate platform decisions, understanding these shifts can help you evaluate tools, challenge assumptions, and better align technical strategy with product goals. This is also a strong fit for people who value cross-functional perspective. Data modernization does not belong only to infrastructure teams; it affects analytics, product experience, machine learning, internal operations, and customer-facing responsiveness. Attending can help you connect those dots more effectively. Just as importantly, this is a chance to meet others in Paris who care about the future of data systems. The combination of technical substance and community makes the event useful whether you arrive with deep expertise or with a focused interest in learning where the field is moving. Practical Details The event takes place in person at 321founded - Corporate Startup Studio, located in Westfield Forum des Halles, Paris, France. The venue places the evening in a central, accessible city setting that is well suited to both focused discussion and informal networking afterward. It is scheduled for Thursday, June 19 at 6:00 PM GMT+2. That timing makes it easy to attend after the workday and gives the event a strong end-of-day exchange feel, with space for conversation rather than a rushed drop-in session. A few useful things to keep in mind: This is an in-person gathering, so expect direct interaction with other attendees The topic is technical but broadly relevant, especially if your work touches data, AI, systems, or product infrastructure The setting supports networking, so it is worth arriving ready to introduce yourself and compare notes with peers If you are exploring modernization decisions, come with questions from your own systems or team context If you want a sharper understanding of how streaming databases fit into modern, AI-ready architecture—and you want that conversation in a room with people actively building, questioning, and learning—this is a strong event to make time for.
Who should attend
This is for you if you want a more concrete understanding of how real-time data infrastructure connects to modern system design and AI readiness. - **You work in data or platform engineering** and are evaluating how streaming architectures could improve latency, reliability, or system design. - **You are building AI or ML-enabled products** and want to understand the infrastructure requirements behind timely, usable, production-grade data. - **You lead technical strategy, architecture, or modernization efforts** and need a clearer view of how to evolve beyond batch-heavy or fragmented information systems. - **You work in product, analytics, or operations** and want to better understand how streaming data can support faster decisions, smarter workflows, and more responsive products. - **You are part of a startup, innovation team, or tech community** and enjoy learning from practical discussions that connect emerging patterns to real implementation questions. - **You want to meet peers in Paris** who care about data-centric systems, autonomy, and the technical foundations that make AI actually usable. If you have been hearing the terms "real-time," "event-driven," or "AI-ready" and want them translated into meaningful system concepts, you will likely get a lot from this evening.